---
license: unknown
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-11B
metrics:
- accuracy
model-index:
- name: news_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# news_classification

This model is a fine-tuned version of [tiiuae/falcon-11B](https://huggingface.co/tiiuae/falcon-11B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5745
- Balanced Accuracy: 0.2502
- Accuracy: 0.255

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 1.9368        | 1.0   | 25   | 1.7709          | 0.2244            | 0.24     |
| 1.4906        | 2.0   | 50   | 1.6275          | 0.2489            | 0.26     |
| 1.2288        | 3.0   | 75   | 1.5745          | 0.2502            | 0.255    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1